Spelling suggestions: "subject:"differential equations partial"" "subject:"ifferential equations partial""
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HIGH-SPEED MONTE CARLO TECHNIQUE FOR HYBRID-COMPUTER SOLUTION OF PARTIAL DIFFERENTIAL EQUATIONSHandler, Howard January 1967 (has links)
No description available.
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Linear, linearisable and integrable nonlinear PDEsDimakos, Michail January 2013 (has links)
No description available.
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A Monte Carlo technique using a fast repetitive analog computer for determining lowest eigenvalues of partial differential equations for various boundaries with applicationsD'Aquanni, Richard Thomas, 1943- January 1970 (has links)
No description available.
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Viscosity solutions of second order equations in a separable Hilbert space and applications to stochastic optimal controlKelome, Djivèdé Armel 05 1900 (has links)
No description available.
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Group analysis of the nonlinear dynamic equations of elastic stringsPeters, James Edward, II 08 1900 (has links)
No description available.
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Finite difference techniques and rotor blade aeroelastic partial differential equations with quasisteady aerodynamicsYillikci, Yildirim Kemal 12 1900 (has links)
No description available.
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A new finite difference solution to the Fokker-Planck equation with applications to phase-locked loopsO'Dowd, William Mulherin 12 1900 (has links)
No description available.
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New methods for the computation of optical flowCurry, Cecilia W. 08 1900 (has links)
No description available.
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An application of modern analytical solution techniques to nonlinear partial differential equations.Augustine, Jashan M. 20 May 2014 (has links)
Many physics and engineering problems are modeled by differential equations. In
many instances these equations are nonlinear and exact solutions are difficult to
obtain. Numerical schemes are often used to find approximate solutions. However,
numerical solutions do not describe the qualitative behaviour of mechanical systems
and are insufficient in determining the general properties of certain systems of
equations. The need for analytical methods is self-evident and major developments
were seen in the 1990’s. With the aid of faster processing equipment today, we are
able to compute analytical solutions to highly nonlinear equations that are more
accurate than numerical solutions.
In this study we discuss solutions to nonlinear partial differential equations with
focus on non-perturbation analytical methods. The non-perturbation methods of
choice are the homotopy analysis method (HAM) developed by Shijun Liao and the
variational iteration method (VIM) developed by Ji-Huan He. The aim is to compare the solutions obtained by these modern day analytical methods against each other
focusing on accuracy, convergence and computational efficiency.
The methods were applied to three test problems, namely, the heat equation, Burgers
equation and the Bratu equation. The solutions were compared against both the exact
results as well as solutions generated using the finite difference method, in some cases.
The results obtained show that the HAM successfully produces solutions which are
accurate, faster converging and requires less computational resources than the VIM.
However, the VIM still provides accurate solutions that are also in good agreement
with the closed form solutions of the test problems. The FDM also produced good
results which were used as a further comparison to the analytical solutions. The
findings of this study is in agreement with those published in the literature. / Thesis (M.Sc.)-University of KwaZulu-Natal, Pietermaritzburg, 2013.
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Systems of partial differential equations and group methods /Chow, Tanya L. M. January 1996 (has links)
Thesis (M.Sc. (Hons.))--University of Western Sydney, Macarthur, Faculty of Business and Technology, 1996. / Bibliography: 113-116.
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